---
language:
- zh
tags:
- hisilicon
- hispark
- npu
- openharmony
- modelzoo
- pytorch
---

# YOLOv5s

YOLO系列网络模型是最为经典的one-stage算法，也是目前工业领域使用最多的目标检测网络，YOLOv5网络模型在继承了原有YOLO网络模型优点的基础上，具有更优的检测精度和更快的推理速度。本示例使用YOLOv5s。

## Mirror Metadata

- Hugging Face repo: shadow-cann/hispark-modelzoo-yolov5s
- Portal model id: j8pr351otk00
- Created at: 2026-04-01 16:31:00
- Updated at: 2026-04-08 16:07:07
- Category: 计算机视觉

## Framework

- PyTorch

## Supported OS

- OpenHarmony
- Linux

## Computing Power

- Hi3403V100 SVP_NNN
- Hi3403V100 NNN

## Tags

- 目标检测

## Detail Parameters

- 输入: 640x640
- 参数量: 7.226M
- 计算量: 18.066GFLOPs

## Files In This Repo

- yolov5s.om (编译模型 / A8W8 / A8W8)
- yolov5s_FP16_Hi3403V100-NNN.om (编译模型 / FP16 / FP16)
- yolov5s.pt (源模型 / 源模型下载)
- yolov5s.onnx (源模型 / 源模型下载)
- SVP_NNN_PC_V1.0.6.0.tgz (工具链 / 工具链)
- yolov5s_source-model.pt (源模型 / 镜像补充)

## Upstream Links

- Portal card: https://gitbubble.github.io/hisilicon-developer-portal-mirror/model-detail.html?id=j8pr351otk00
- Upstream repository: https://gitee.com/HiSpark/modelzoo/tree/master/samples/samples_GPL/built-in/yolov5
- License reference: https://github.com/ultralytics/yolov5/blob/master/LICENSE

## Notes

- This repository was mirrored from the HiSilicon Developer Portal model card and local downloads captured on 2026-03-27.
- File ownership follows the portal card mapping, not just filename similarity.
- Cover image: 1701484647481346_yolov5s.jpg